This HTML5 document contains 11 embedded RDF statements represented using HTML+Microdata notation.

The embedded RDF content will be recognized by any processor of HTML5 Microdata.

Namespace Prefixes

Prefix	IRI
n11	http://data.openlinksw.com/oplweb/product_release_realm/RDFDBMSEngine#
feat	http://www.openlinksw.com/ontology/features#
wdrs	http://www.w3.org/2007/05/powder-s#
schema	http://schema.org/
n7	https://www.openlinksw.com/about/id/entity/urn/data:openlink:
rdfs	http://www.w3.org/2000/01/rdf-schema#
rdf	http://www.w3.org/1999/02/22-rdf-syntax-ns#
n6	http://virtuoso.openlinksw.com/data/turtle/general/
oplben	http://www.openlinksw.com/ontology/benefits#
n2	http://data.openlinksw.com/oplweb/product_feature/GeoSpatialSPARQL#
xsdh	http://www.w3.org/2001/XMLSchema#
n10	http://data.openlinksw.com/oplweb/product_benefit/StandardsCompliance#

Statements

Subject Item

n2:this

wdrs:describedby

n6:virtuoso72.ttl n7:products

schema:name

Geo-Spatial SPARQL Extensions

feat:hasScope

n11:this

oplben:hasBenefit

n10:this

rdfs:label

Geo-Spatial SPARQL Extensions

rdf:type

feat:ProductFeature

rdfs:comments

Enhanced Geo-Spatial extensions to SPARQL enable high-performance and scalable query of data constructed using spatially-oriented relations. New supported geometric datatypes include polygons, polygons with holes, multi-polygons, geometric collections, multi-points, line strings, multi-line strings, and various geometric functions. Enhanced Geo-Spatial extensions to SPARQL enable high-performance and scalable query of data constructed using spatially-oriented relations. New supported geometric datatypes include polygons, polygons with holes, multi-polygons, geometric collections, multi-points, line strings, multi-line strings, and various geometric functions.

schema:comments

Enhanced Geo-Spatial extensions to SPARQL enable high-performance and scalable query of data constructed using spatially-oriented relations. New supported geometric datatypes include polygons, polygons with holes, multi-polygons, geometric collections, multi-points, line strings, multi-line strings, and various geometric functions. Enhanced Geo-Spatial extensions to SPARQL enable high-performance and scalable query of data constructed using spatially-oriented relations. New supported geometric datatypes include polygons, polygons with holes, multi-polygons, geometric collections, multi-points, line strings, multi-line strings, and various geometric functions.